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Freeman ATR MA RSI Grid 策略
概述
该策略将 MetaTrader 的 "freeman" 专家顾问迁移到 StockSharp 的高级 API。策略在移动均线斜率与 RSI 过滤器方向一致时逐步加仓,所有距离均以点(pip)配置,并通过合约最小价格步长换算为价格差,以保持原始外汇版本的行为。
交易逻辑
- 订阅单一周期的K线(可配置),在每根收盘K线上更新 ATR、MA 与 RSI 指标。
- 当满足以下条件时产生方向信号:
- 通过比较当前与上一根K线的均线值确定均线斜率方向(可选的趋势过滤)。
- 价格需与均线保持最小点差,以避免直接在均线上建仓。
- 若启用 RSI 过滤器,则 RSI 必须突破上下阈值。保留了 MetaTrader 中的特殊逻辑——RSI 卖出确认返回
-11,因此两个过滤器同时启用时策略更偏向多头。
- 严格限制最大持仓数量。只有当价格相对最后一次开仓逆向移动了设定的点差时,才会在同方向上追加仓位,从而形成加仓网格。
- 每次开仓都会设置基于 ATR 的止损与止盈。价格向盈利方向移动超过「追踪止损 + 追踪步长」后,追踪止损将向上/向下移动。
- 当K线的最高/最低价格触及止损、止盈或更新后的追踪止损时,通过反向市价单平仓。
风险控制
- ATR 倍数决定固定止损与止盈的距离,设置为
0 即可关闭相应的保护。
- 追踪止损由两个点差参数定义:实际追踪距离与再次移动前所需的额外位移。
- 策略使用基础属性
Volume 作为下单量,不包含额外的资金管理逻辑,唯一限制来自持仓数量上限。
参数
| 名称 |
说明 |
CandleType |
指标计算所使用的K线周期。 |
MaxPositions |
允许的最大持仓数量(多头与空头之和)。 |
DistancePips |
同向连续加仓之间的最小点差。 |
AtrPeriod |
ATR 指标的周期。 |
AtrStopLossMultiplier |
止损的 ATR 倍数,设为 0 可禁用。 |
AtrTakeProfitMultiplier |
止盈的 ATR 倍数,设为 0 可禁用。 |
UseTrendFilter |
是否启用均线趋势过滤。 |
DistanceFromMaPips |
启用趋势过滤时价格与均线之间的最小点差。 |
MaPeriod, MaShift, MaMethod, MaPriceType |
与 MetaTrader 输入一致的均线参数。 |
UseRsiFilter |
是否启用 RSI 过滤器。 |
RsiLevelUp, RsiLevelDown, RsiPeriod, RsiPriceType |
RSI 的阈值、周期及使用的价格类型。 |
TrailingStopPips, TrailingStepPips |
追踪止损距离与追加移动步长(点)。 |
CurrentBarOffset |
读取指标时使用的偏移量,对应专家顾问的 CurrentBar 参数。 |
说明
- 点值换算会在报价带有 3 或 5 位小数时,将
PriceStep 乘以 10,以模拟 MetaTrader 中从 point 到 pip 的处理方式。
- 策略使用净头寸模型:出现反向信号时会先平掉当前仓位,再根据新方向开仓。
OnStarted 中调用 StartProtection(),防止在首次交易前连接中断导致的风险。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class FreemanAtrMaRsiGridStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private decimal? _prevFast, _prevSlow;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public FreemanAtrMaRsiGridStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame()).SetDisplay("Candle Type", "Timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 8).SetGreaterThanZero().SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 21).SetGreaterThanZero().SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = null;
_prevSlow = null;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = null; _prevSlow = null;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null) { DrawCandles(area, subscription); DrawIndicator(area, fast); DrawIndicator(area, slow); DrawOwnTrades(area); }
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished) return;
if (!IsFormedAndOnlineAndAllowTrading()) { _prevFast = fast; _prevSlow = slow; return; }
if (_prevFast == null || _prevSlow == null) { _prevFast = fast; _prevSlow = slow; return; }
var prevAbove = _prevFast.Value > _prevSlow.Value;
var currAbove = fast > slow;
_prevFast = fast; _prevSlow = slow;
if (!prevAbove && currAbove && Position <= 0) { if (Position < 0) BuyMarket(); BuyMarket(); }
else if (prevAbove && !currAbove && Position >= 0) { if (Position > 0) SellMarket(); SellMarket(); }
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class freeman_atr_ma_rsi_grid_strategy(Strategy):
def __init__(self):
super(freeman_atr_ma_rsi_grid_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1))) \
.SetDisplay("Candle Type", "Timeframe", "General")
self._fast_period = self.Param("FastPeriod", 8) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 21) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._prev_fast = None
self._prev_slow = None
@property
def CandleType(self):
return self._candle_type.Value
@property
def FastPeriod(self):
return self._fast_period.Value
@property
def SlowPeriod(self):
return self._slow_period.Value
def OnReseted(self):
super(freeman_atr_ma_rsi_grid_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
def OnStarted2(self, time):
super(freeman_atr_ma_rsi_grid_strategy, self).OnStarted2(time)
self._prev_fast = None
self._prev_slow = None
fast = ExponentialMovingAverage()
fast.Length = self.FastPeriod
slow = ExponentialMovingAverage()
slow.Length = self.SlowPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(fast, slow, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def _on_process(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fv = float(fast_value)
sv = float(slow_value)
if self._prev_fast is None or self._prev_slow is None:
self._prev_fast = fv
self._prev_slow = sv
return
prev_above = self._prev_fast > self._prev_slow
curr_above = fv > sv
self._prev_fast = fv
self._prev_slow = sv
if not prev_above and curr_above and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif prev_above and not curr_above and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
def CreateClone(self):
return freeman_atr_ma_rsi_grid_strategy()